Current Science

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Social network data of tuberculosis (TB) patients could explain the source and pattern of disease spread. A review of the published literature highlights that social network data could identify hidden social or epidemiological links among TB patients and improved TB case finding. Index and betweenness position of patients explained TB transmission. Social networks of TB cases were centred in the hotspots of alcohol, substance uses, sexual activities and hospitals. Multiple sources of TB infection in the community were identified. The findings highlight the potential of social network methods for understanding TB spread in high-burden countries like India.

Keywords

Epidemiological Links, Hotspots, Social Network Matrics, Transmission, Tuberculosis.
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